image restoration research papers old and new


image restoration 2014



Based on Total Variation Regularization Iterative Blind Image Restoration Algorithm
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ABSTRACT In the process of image formation, transmission and recording, because of the imaging system, transmission medium and the equipment is not perfect, it makes the quality of image declined, the key of blurred image restoration is to estimate the Point Spread 

A Review: A Novel Algorithm for Blurred Image Restoration in the field of Medical Imaging
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ABSTRACT Image restoration deals with bringing back the degraded image to its original state ie it helps to restore the degraded image into more sharp and clear image. Restoration of medical images is the demand of the hour as such images suffer from distortions like 

Adaptive Reciprocal Cell based Sparse Representation for Satellite Image Restoration
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ABSTRACT. Satellite images are unavoidably corrupted by aliasing, blur and noise, leading to the restoration problem, which is usually an ill-posed inverse problem. To address the problem, various regularization methods have been proposed in the past decades. 

Image Restoration using Inpainting
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ABSTRACT This paper presents comparision between two methods of image inpainting for image restoration. A coarse version of the input image is inpainted using CDD inpainting technique and also by TV inpainting technique. Image is often statistically corrupted with 

A Novel Approach of Image Restoration Based on Segmentation And Fuzzy Clustering
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ABSTRACT Image restoration is the process of restoring or deblurring an image which has been undergone certain degradations. In this paper, we proposed a method for image restoration based on segmentation and fuzzy clustering. This Method consider the similar image pair 

A Novel Method of Image Restoration by using Different Types of Filtering Techniques
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ABSTRACT Image restoration is an important issue in high level image processing which deals with recovering of an original and sharp image using a degradation and restoration model. During image acquisition process degradation occurs. Image restoration is used to 

Blind Image Restoration via the Integration of Stochastic and Deterministic Methods
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This paper addresses the image restoration problem which remains a significant field of image processing. The fields of experts-(FoE-) based image restoration has been discussed and some open issues including noise estimation and parameter selection have been 

Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection
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Abstract Recovering a large matrix from limited measurements is a challenging task arising in many real applications, such as image inpainting, compressive sensing and medical imaging, and this kind of problems are mostly formulated as low-rank matrix 

Restoration for High-overlapped Image Sequence with Composite Motion Blurs.
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ABSTRACT Motion blur is a common degradation which usually brings difficulties to subsequent image process and analysis of a machine vision system. In this paper, an effective restoration scheme is proposed for high-overlapped image sequence with 

Rigorous mathematical investigation of a nonlinear anisotropic diffusion-based image restoration model
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ABSTRACT. A nonlinear diffusion based image denoising technique is introduced in this paper. The proposed PDE denoising and restoration scheme is based on a novel diffusivity function that uses an automatically detected conductance parameter. A robust mathematical 

Image Restoration using Neuro-Fuzzy and ACO
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ABSTRACT Ant Colony Optimization (ACO) is a recently proposed metaheuristic approach for solving hard combinatorial optimization problems. The accurate source of ACO is the pheromone trail laying and following behavior of real ants which use pheromones as a 

Novel Approach for Image Restoration and Transmission
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ABSTRACT This paper develops a new technique in image restoration and transmission process, where the image size is halved after transforming it to the frequency domain by applying discrete Fourier transform. The conjugate symmetry and mirror property of 

2D Iterative MAP Detection: Principles and Applications in Image Restoration
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Abstract. The paper provides a theoretical framework for the two-dimensional iterative maximum a posteriori detection. This generalization is based on the concept of detection algorithms BCJR and SOVA, ie, the classical (one-dimensional) iterative detectors used in 

Image Restoration with Lucy-Richardson Algorithm
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FX Zhao Applied Mechanics and Materials,

Image Restoration using Multilayer Neural Networks with Minimization of Total Variation Approach
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ABSTRACT Noise reduction is a very important task in image processing. In this aim, many approaches and methods have been developed and proposed in the literature. In this paper, we present a new restoration method for noisy images by minimizing the Total Variation ( 

A DWT-based Digital Watermarking Scheme for Image Tamper Detection, Localization, andRestoration
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Abstract The provision of image tamper detection, localization and restoration forms an important requirement for modern multimedia and communication systems. A discrete wavelet transform (DWT)-based watermarking scheme for this purpose is proposed in this 

Image Enhancement and Restoration
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Background The appearance of objects and scenes can vary considerably with respect to illumination conditions. In , differences in face appearance due to lighting were found to be greater than those due to identity. Since such appearance variations can affect the 

IMAGE RESTORATION BASED ON MORPHOLOGICAL OPERATIONS.
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Abstract Image processing including noise suppression, feature extraction, edge detection, image segmentation, shape recognition, texture analysis, image restoration and reconstruction, image compression etc uses mathematical morphology which is a method 

Restoration of Degraded Historical Document Image: An Adaptive Multilayer-Information Binarization Technique
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Binary image is the essential format for document image processing, and the operation of the subsequent steps depends on the quality of the binarization process. The objective of this research is to propose a new binarization method based on adaptive multilayer- 

Nonlinear Diffusion-based Image Restoration Models
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T Barbu wseas.us ABSTRACT A novel nonlinear PDE-based image denoising and restoration approach is provided in this article. The proposed anisotropic diffusion based technique is derived from the influential Perona-Malik nonlinear diffusion scheme, representing an enhanced 

IMAGE RESTORATION VIA BAYESIAN STRUCTURED SPARSE CODING
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W Donga, X Lib, Y Mac, G Shia see.xidian.edu.cn ABSTRACT In this work, we propose a Bayesian structured sparse coding (BSSC) framework containing a nonlocal extension of Gaussian scale mixture (GSM) model by exploiting structured sparsity. It is shown that the variances of sparse coefficients (the field 

Design and Analysis of Image Restoration Algorithm using Radon Transform and Bilateral Filter
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A Gupta ijemr.net ABSTRACT The major task in photography is motion blur. Taking clear photos under dim light using a hand-held camera is quite challenging. If the camera is set to a long exposure time, the image gets blurred due to camera shake. On the other hand, the image is dark 

Restoration of Motion Distorted Image by Blind Image Deconvolution
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ABSTRACT This paper tries to understand the study of Restored Motion Blurred Images by using three types of deblurring methods: Wiener filter, Lucy Richardson and Blind Image Deconvolution. Restabilising a clear image from a solo motion-distorted image due to 

Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method
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Z Lijuan, L Dongming, S Wei, Y Jinhua, J Yutong downloads.hindawi.com ABSTRACT To improve the effect of adaptive optics images' restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multi-frame adaptive optics images that based on expectation-maximization theory. Firstly, we need to make a 

Image Restoration Using Wavelet based Image Fusion
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M Sharma, S Datar ijettjournal.org ABSTRACT Image restoration is a field of image processing which deals with restoring an image that has been degraded by some degradation phenomenon. Degradation may occur due to motion blur, Gaussian blur, noise or camera mismatch. This paper presents a novel 

A Novel System for Image Restoration based on RBF NN and Filling in Technique
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G Kaur, P Kaur isaet.org Usually with operation such as noise and transmitting of images make it damaged and it is difficult to restore. Color image restoration criteria are put forward based on Filling in Technique and RBF neural network. First of all, the feedback image is trained by the RBF 

Image Restoration using Soft Computing
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SM Bhatti xa.yimg.com ABSTRACT Image restoration is defined as a technique to bring back contents of initial image from the degraded one with or without having prior knowledge about degradation process. Image degradation may appear in any of the processing phases including: acquisition, 

An Improved Restoration Tool Based on Blind Image Deconvolution and Curvelet Transform
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P TIWARI, K SHARMA ijsett.com ABSTRACT Image restoration deals with bringing back the degraded image to its original state ie it helps to restore the degraded image into more sharp and clear image. This research paper proposes a novel and improved restoration technique using blind image 

Comparative Study of Color Image Restoration Algorithms for Remote Farming Application
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K Jain, I Joshi, R Chauhan erpublication.org ABSTRACT In this paper we study and compare various color image restoration algorithms for remote farming applicationapplication. Here, we are mainly analyzing Wiener, Lucy Richardson and regularized deconvolution algorithms and then using PSNR and MSE value we can find 

A Comprehensive Review on Image Restoration Techniques
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BR Mohapatra, A Mishra, SK Rout ijrat.org ABSTRACT Image restoration is an art to improve the quality of image via estimating the amount of noises and blur involved in the image. With the passage of time, image gets degraded due to different atmospheric and environmental conditions, so it is required to restore the 

An Image Restoration Method Based on Electromagnetism-like Mechanism Algorithm?
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J Jianga, H Liua, G Wangb, Y Zengc joics.com ABSTRACT A new image restoration algorithm is proposed by combining the Electromagnetism- like Mechanism algorithm with image restoration, because reasons of degradation are very complex and methods used commonly are limited by prior knowledge. First, the degraded 

A Novel Algorithm for Edge Preservation in Image Restoration
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P Raj, S Nagpal, P Sehgal, S Gupta ijrmst.org ABSTRACT This paper addresses the problem of edge preservation. In many problems of image processing when some technique like reconstruction is applied on the images the resultant image do not have smooth or clear edges. The edges of these images are 

A Review of Denoising Filters in Image Restoration
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M Aggarwal, R Kaur, B Kaur ijcrar.com ABSTRACT The massive production of digital images in the communication world has led to the need for efficient image restoration methods. Image restoration is the process of obtaining a noise free original image from a corrupted/noisy image. It forms an important 

ENHANCEMENT METHOD FOR MULTISCALE IMAGE RESTORATION IN ULTRASOUND MEDICAL IMAGING
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KB VANDARA, D KULKARNI ejournal.aessangli.in ABSTRACT In diagnosis of diseases Ultrasonic devices are frequently used by healthcare professionals. The main problem during diagnosis is the distortion of visual signals obtained which is due to the consequence of the coherent of nature of the wave transmitted. These 

Neural Network based Image Restoration Technique
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RM Manu, UM CAMILLA ijact.in ABSTRACT.:-This paper deals with image restoration using neural network method. Multilayer perceptron (MLP) trained with synthetic gray level images of artificial degeneration of co- centred circles are used in this method. Present proposed approach differs from the 

Video Image Restoration Based on Sparse Representation?
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L Hea, J Tana, C Xieb, M Hub joics.com ABSTRACT The sparse representation, as a powerful model, has been successfully used in image processing. Considering that the sparse representation can be used in static image restoration, we propose a video image restoration method on sparse representation. In 

Image Restoration and Enhancement Using Unified Blind Method
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ABSTRACT Images play a vital role in our day to day life therefore the quality and the information contained in an image is very important to be preserved for various process used in different applications such as military, medical science, astronomy etc. But while 

WAVELET BASED THRESHOLDING APPROACH FOR IMAGE RESTORATION AND ENHANCEMENT
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KB VANDARA, D KULKARNI ejournal.aessangli.in ABSTRACT In this paper, the methodology for image restoration and enhancement based on advanced timefrequency techniques is discussed. The noise component in image is removed by the multi-decomposition and different threshold technique is implemented. 

Image Restoration Techniques for Better Visualization
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MSM Shelake, MTD Deshmukh, MVM Shelake ijritcc.org  Image Restoration Techniques for Better Visualization Ms.Seemadevi M.Shelake  degraded image. Most Bayesian image restoration algorithms reconstruct images by maximizing the posterior probability, abbreviated MAP. Reconstructed images are called the MAP estimates. 

Image Restoration through ADMM and Double Sparse Representations?
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S Xiaoa, G Hanb joics.com ABSTRACT Image restoration is a problem because high speed and high restored quality are both very important characteristics a state-of-the-art algorithm should possess. A novel algorithm based on double sparse representations is proposed in this paper to solve the 

Research on Hierarchical Image Restoration of Chinese Painting
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S Wei yeedao.net Chinese paintings restoration using a hierarchy based approach. The framework involves three stages: layering phase, in which the painting is divided into two layers which are foreground layer and background layer; hierarchy restoration phase, in which foreground 

Image Restoration-A Survey
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R Kaur, EN Singh iosrjournals.org ABSTRACT Image restoration is the process of restoring the degraded or corrupted image back to its original form. It is the initial step of image processing. Noise is added in the image while sending an image from one place to another via satellites, wireless, or during image 

An Ant Colony Optimization Approach to Ultrasound Image Restoration
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DD Singh, M Aggarwal image - ijsett.com ABSTRACT Ant colony optimization (ACO) is a swarm intelligence technique which is applied in various fields ranging from mathematical computations to image processing. Ultrasound images are the most widespread medical images which are used by doctors to detect the 

Analysis of Variational Methods in Image Restoration
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D Aishwarya, N Venkateswaran ijser.org ABSTRACT In this paper, image restoration using Variational methods based on Partial Differential Equation is presented for the removal of blur and noise. The algorithms presented are aimed to reduce the total variation in the image degraded by the noisy 

Image Restoration by Using Hybrid Filling-in
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GK Sivia, A Kaur ijcsit.com ABSTRACT Image Restoration is defined as method to restore the degraded or corrupted images. There are many restoration methods available and implemented to recover the corrupted images. Filling-in of missing and corrupted information is very important 

Shrinkage Fields for Effective Image Restoration
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Abstract Many state-of-the-art image restoration approaches do not scale well to larger images, such as megapixel images common in the consumer segment. Computationally expensive optimization is often the culprit. While efficient alternatives exist, they have not 

Satellite Image Restoration Using Shearlet Transform
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P Suganthi, MA Gokila, K Ramasamy ijser.org ABSTRACT A satellite image restoration method that avoids ringing artifacts at the image boundary and retains oriented features. The method combines periodic plus smooth image decomposition with complex wavelet packet transforms. The framework first decomposes 

Proximal iterative hard thresholding methods for wavelet frame based image restoration
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X Zhanga, L Houb, B Dongc, Z Shend, X Zhanga math.arizona.edu ABSTRACT The iterative thresholding algorithms started in (both soft and hard) and in [2, 3, 4](soft) for wavelet based linear inverse problems restoration with sparsity constraint. The analysis of iterate soft thresholding algorithms has been well studied under the framework 

NON-BLIND IMAGE RESTORATION WITH SYMMETRIC GENERALIZED PARETO PRIORS
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Abstract This paper presents a new non-blind image restoration method based on the symmetric generalized Pareto (SGP) prior, which models the heavy-tailed distributions of gradients for natural images. Through experiments we show that the SGP model achieves 

A Digital Image Restoration Algorithm based on RBF NN and Filling in Technique
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G Kaur, P Kaur isaet.org Generally with operation such as noise and transmission of images make it corrupted and it is difficult to recover. Color image restoration algorithm is put forward based on filling in technique and RBF neural network. Firstly, the input image is trained by the RBF neural 

A survey on: Visual Enhancement and Restoration of Sub-Aqua Image
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N Patel, C Sao ijarcce.com ABSTRACT In Underwater Image processing, the basic physics of light propagation in the water medium comes into extinction. When light enters the water, it is exponentially attenuated, and so the visibility distance is limited. Underwater images suffer from blurring, non 

PDE-based Image Restoration using Variational Denoising and Inpainting Models
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T Barbu, A Ciobanu, M Luca math.uni-bielefeld.de ABSTRACT A PDE-based image restoration model is proposed in this paper. It aims to restore degraded images that are affected by both noise and missing zones. The considered restoration approach is based on two PDE variational techniques. The first variational 

A Novel Algorithm for Blurred Image Restoration in the field of Medical Imaging
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R Kalotra, SA Sagar ijsett.com ABSTRACT Medical Image Restoration is a technique which recovers the medical images from the effects of noise and blur. It deals with bringing back the degraded image to its original state ie it helps to restore the degraded image into more sharp and clear image. Medical 

Image Restoration Based On Deconvolution by Richardson Lucy Algorithm
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M Thakur, S Datar algorithms ijettjournal.org ABSTRACT This article presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by which an image suffering from degradation can be recovered to its original form. Removing blur and noise from image is 

Limited memory quasi-Newton methods for nonlinear image restoration
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Abstract The iterative solution of unconstrained optimization problems have been found in a variety of significant applications of research areas, such as image restoration. In this paper, we present an efficient limited memory quasi-Newton (QN) technique based on symmetric 

A Comparative Study and Analysis of Image Restoration Techniques Using Different Images Formats
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R Navaneethakrishnan isrjournals.co.in ABSTRACT Image Restoration is a field of Image Processing which deals with recovering an original and sharp image from a degraded image using a mathematical degradation and restoration model. This study focuses on restoration of degraded images which have been 

Half Blind Restoration Algorithm of Building Image Based on Total Variation
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Q Zhoua, H Longb, X Liub joics.com ABSTRACT Based on restoration theories, this paper mainly studies the blind restoration method of motion-blurred image, including a joint identification method and a priori fuzzy identification method. For the halfblind restoration problem, a total variation model is 

Inpainting For Image Restoration
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CP Sathe, S Hingway, S Suresh upload.wikimedia.org ABSTRACT This paper presents comparision between 2 ways of image inpainting for image restoration. A rough version of the input image is inpainted CDD inpainting technique and by TV inpainting technique. Image is usually statistically corrupted with noise, hence removal 

VISUAL COHERENCE FOR EVALUATION OF COLOR IMAGE RESTORATION
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Abstract Digital image inpainting technique could provide substantial support for future restoration of images. However, much less effort has been devoted to the development of image inpainting evaluation. In this paper, we proposed a novel objective metric for 

SUPER-RESOLUTION IMAGE RESTORATION FROM IMAGE SEQUENCE
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CH Lee, CF Lin, CS Fuh csie.ntu.edu.tw ABSTRACT The field of super-resolution has a wide area of applications. In order to display relatively low-quality content on high-resolution displays, the need for super resolution algorithms has become an urgent market priority. A method of super-resolution based on 

Periodic Spline-Based Frames for Image Restoration
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AAPNV Zheludev cs.tau.ac.il ABSTRACT We present a design scheme to generate tight and semi-tight frames in the space of discrete-time periodic signals, which are originated from four-channel perfect reconstruction periodic filter banks. The filter banks are derived from interpolating and quasi-interpolating 

A Novel Application to Image Restoration Based on Regularized SL0 Algorithm in Frequency Domain
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PH Ha, V Patanavijit ecti-thailand.org ABSTRACT In these recent years, Compressive Sensing (CS) is becoming an attractive topic in the field of Information Theory. It is widely used in several area including networking, image processing and digital camera. In particular, image reconstruction based on small 

Comparative Analysis of Patch Based Image Restoration Techniques for Diversified Field Images.
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MS Gandhi, AD Bhoi, AL Wanare ijritcc.org ABSTRACT Recently there has been considerable increase in the casual and commercial uses of image and video capturing devices. Apart from their applications in photography, the captured data are often inputs to sophisticated object detection and tracking, andaction 

Fast Transforms in Image Processing: Compression, Restoration, Resampling
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LP Yaroslavsky downloads.hindawi.com ABSTRACT Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet and alike. They proved to be very efficient in image compression, in image restoration, in image resampling and 

THE ROLE OF ARCHAEOLOGICAL LANDSCAPE RESTORATION IN BUILDING THE LOCAL TOURISM IMAGE: THE GUMELNITA ARCHAEO-PARK (
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ABSTRACT The study is based on the current global trend of archaeo-landscape studies aimed at reconstructing some relevant sites through experimental archaeology and encouraging their use for scientific and tourist purposes. In the town of Draganesti-Olt, due to the 

SPATIAL DOMAIN IMAGE ENHANCEMENT AND RESTORATION TECHNIQUES
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KB VANDARA, D KULKARNI ejournal.aessangli.in ABSTRACT The aim of medical image enhancement and restoration is to effectively extract information contained in the image for diagnosis. This paper discusses the standard techniques of image enhancement and restoration for medical images. Experimental 

older than-2013



A multiscale neural network method for image restoration
FREE DOWNLOAD Image restoration is an inverse problem stated as the recovery of an image from its probably degraded version. The existing methods usually require a priori knowledge of the degradation process to design the solution that may compensate for the degradation

Image restoration for resolution improvement of digital aerial images: a comparison of large format digital cameras
FREE DOWNLOAD ABSTRACT Within the paper a comparative quantification of the spatial image resolution for large-format digital airborne cameras will be presented. For this purpose, imagery of the Leica ADS40, the Intergraph Z/I-imaging DMC and the Vexcel UltraCamD were examined.

Anisotropic diffusion-based detail-preserving smoothing for image restoration
FREE DOWNLOAD ABSTRACT It is important in image restoration to remove noise while preserving meaningful detail such as blurred thin edges and low-contrast fine features. The existing edgepreserving smoothing methods may inevitably take fine detail as noise or vice versa.

A hybrid GMRES and TV-norm-based method for image restoration
FREE DOWNLOAD ABSTRACT Total variation-penalized Tikhonov regularization is a popular method for the restoration of images that have been degraded by noise and blur. The method is particularly effective, when the desired noise-and blur-free image has edges between smooth

Proximal methods for image restoration using a class of non-tight frame representations
FREE DOWNLOAD ABSTRACT The objective of this paper is to develop a convex optimization approach for solving image deconvolution problems involving frame representations. Until now, most of the proposed frame-based variational methods assumed either Lipschitz differentiability

Detecting the spur marks of ink-jet printed documents using a multiband scanner in NIR mode and image restoration
FREE DOWNLOAD Ink-jet printers are frequently used in crime such as counterfeiting bank notes, driving licenses, and identification cards. Police investigators required us to identify makers or brands of ink-jet printers from counterfeits. In such demands, classifying ink-jet printers

Introducing dynamic prior knowledge to partially-blurred image restoration
FREE DOWNLOAD The paper presents an unsupervised method for partially-blurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of parameters in Bayesian regularization is equal to minimizing energy of a dataset for a given number of

Motion robust magnetic susceptibility and field inhomogeneity estimation using regularized image restoration techniques for fMRI
FREE DOWNLOAD In functional MRI, head motion may cause dynamic nonlinear field-inhomogeneity changes, especially with large out-of-plane rotations. This may lead to dynamic geometric distortion or blurring in the time series, which may reduce activation detection accuracy. The use of

3D image restoration with the curvelet transform
FREE DOWNLOAD ABSTRACT We present two new 3D curvelet transforms which are built as extensions of the 2D first generation curvelet transform. The first one, called the RidCurvelet, is especially well designed for representing 2D surfaces in a 3D space while the second one, the

MONTE: The method of nonflat time evolution in PDE-based image restoration
FREE DOWNLOAD ABSTRACT This article is concerned with effective numerical techniques for partial differential equation (PDE)-based image restoration. Numerical realizations of most PDE-based denoising models show a common drawback: loss of fine structures. In order to overcome

PDE-based image restoration, II: Numerical schemes and color image denoising
FREE DOWNLOAD ABSTRACT As a companion paper of [16], this article continues to consider PDE-based image restoration, focusing on numerical schemes and color image denoising. The total variation minimization (TVM) and the motion by mean curvature (MMC) are carefully modified and

An image restoration approach for artificial compound eyes
FREE DOWNLOAD ABSTRACT Natural compound eyes combine a small eye volume with a large field of view (FOV) at the cost of comparatively low spatial resolution. Based on these principles, an artificial apposition compound-eye imaging system has been developed. In this system

Diversity Image Restoration with Dynamically Changing Magnification, Rotation, and Translation
FREE DOWNLOAD ABSTRACT A generalization of diversity algorithms for image restoration and wavefront sensing is presented that allows joint processing of image sets in which the sampling geometry relating focal plane array pixels to their projected positions onto the target is different for

Restoration of atmospheric turbulent video containing real motion using rank filtering and elastic image registration
FREE DOWNLOAD ABSTRACT Atmospheric turbulence causes a random blur in images due to random fluctuations of the refraction index of the air through which the light propagates. An algorithm is described that compensates image distortion due to the atmo spheric turbulence in

Image restoration using a PDE-based approach
FREE DOWNLOAD ABSTRACT Image restoration is an essential preprocessing step for many image analysis applications. In any image restoration techniques, keeping structure of the image unchanged is very important. Such structure in an image often corresponds to the region

A Multi-Scale Vectorial L t-TV Framework for Color Image Restoration
FREE DOWNLOAD ABSTRACT A general multi-scale vectorial total variation model with spatially adapted regularization parameter for color image restoration is introduced in this paper. This total variation model contains an L t-data fidelity for any t?[1, 2]. The use of a spatial

Application of the topological gradient method to color image restoration
FREE DOWNLOAD ABSTRACT. The aim of this paper is to generalize to color images the topological gradient method for the restoration problem. First, we consider a simple extension from grey-level to color images, by considering a channel by channel method. Then, as there should be

Partial regularity for a selective smoothing functional for image restoration in BV space
FREE DOWNLOAD ABSTRACT. In this paper we study the partial regularity of a functional on BV space proposed by Chambolle and Lions [3] for the purposes of image restoration. The functional is designed to smooth corrupted images using isotropic diffusion via the Laplacian where the

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